Run
545810

Run 545810

Task 3742 (Supervised Classification) fri_c4_100_10 Uploaded 01-04-2016 by Rafael Gomes Mantovani
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Flow

classif.randomForestSRC(7)Learner classif.randomForestSRC from package(s) randomForestSRC.
classif.randomForestSRC(7)_seed1
classif.randomForestSRC(7)_kindMersenne-Twister
classif.randomForestSRC(7)_normal.kindInversion

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

20 Evaluation measures

Area under ROC curve
0.8157
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8187
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6361
Cross-validation details (10-fold Crossvalidation)
KB relative information score
63.8096
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4982
Cross-validation details (10-fold Crossvalidation)
Number of instances
100
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8234
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.82
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9975
Cross-validation details (10-fold Crossvalidation)
Recall
0.82
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3613
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4991
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4243
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8501
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis
4.676
UserCPU time millis testing
1.125
UserCPU time millis training
3.551